Adaptive Cruise Control (ACC) is a relatively new system designed to assist automobile drivers in maintaining a safe following distance. This paper proposes and validates a vision-based ACC system which uses a single camera to obtain the clearance distance between the preceding vehicle and the ACC vehicle. Pattern matching, with the aid of lane detection, is used for vehicle detection. The vehicle and range detection algorithms are validated using real-world data, and then the resulting system performance is shown to be sufficient using a simulation of a basic vehicle model.
Reference:
Kanjee, R, Bachoo, A.K and Carroll, J. 2013. Vision-based adaptive cruise control using pattern matching. In: Robotics and Mechatronics Conference (ROBMECH) 2013 Conference, UKZN, Durban, 30-31 October 2013
Kanjee, R., Bachoo, A., & Carroll, J. (2013). Vision-based adaptive cruise control using pattern matching. IEEE Xplore. http://hdl.handle.net/10204/7314
Kanjee, R, AK Bachoo, and J Carroll. "Vision-based adaptive cruise control using pattern matching." (2013): http://hdl.handle.net/10204/7314
Kanjee R, Bachoo A, Carroll J, Vision-based adaptive cruise control using pattern matching; IEEE Xplore; 2013. http://hdl.handle.net/10204/7314 .
